Linkage and association analysis in pedigrees from different populations Journal Articles

abstract

• Abstract Using the Genetic Analysis Workshop 14 simulated datasets we carried out nonparametric linkage analyses and applied a log-linear method for analysis of case-parent-triad data with stratification on parental mating type. We proposed and applied a random effect modelling approach to explore the impact of population heterogeneity on tests of association between genetic markers and disease status. The estimated genetic effect may appear to be strongly significant in one population but nonsignificant in another population, leading to confusion about interpretation. However, when results are interpreted in the light of a random effects model, both studies may be making similar statements about a genetic effect that varies depending on environment and background.

authors

• Beyene, Joseph
• Yan, Jun
• Greenwood, Celia MT

status

• published 

publication date

• December 2005

has subject area

• 0604 Genetics (FoR)
• Chromosomes, Human (MeSH)
• Chromosomes, Human, Pair 3 (MeSH)
• Genetic Linkage (MeSH)
• Genetic Markers (MeSH)
• Genetics & Heredity (Science Metrix)
• Genetics, Population (MeSH)
• Genome-Wide Association Study (MeSH)
• Humans (MeSH)
• Linear Models (MeSH)
• Microsatellite Repeats (MeSH)
• Pedigree (MeSH)
• Polymorphism, Single Nucleotide (MeSH)
• Statistics, Nonparametric (MeSH)

published in

• BMC Genetics  Journal

keywords

• Chromosomes, Human
• Chromosomes, Human, Pair 3
• Genetic Linkage
• Genetic Markers
• Genetics, Population
• Genome-Wide Association Study
• Humans
• Linear Models
• Microsatellite Repeats
• Pedigree
• Polymorphism, Single Nucleotide
• Statistics, Nonparametric

Digital Object Identifier (DOI)

• 10.1186/1471-2156-6-s1-s59

start page

• S59

volume

• 6

issue

• S1